IND ENGG

IE5016: Applied Soft Computing Syllabus for Industrial 8th Sem 2019 Regulation Anna University (Professional Elective-VII)

Applied Soft Computing detailed syllabus for Industrial Engineering (Industrial) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Industrial Engineering 8th Sem scheme and its subjects, do visit Industrial 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Industrial Professional Elective-VII syllabus scheme. The detailed syllabus of applied soft computing is as follows.

Applied Soft Computing

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit I

Introduction
History and Applications of Artificial Intelligence – Algorithmic versus Heuristic reasoning, Representation and Intelligence. Knowledge Representation: Rule based, Model based, Case based and hybrid systems. Logic based Abductive Inference, Stochastic approach to uncertainty.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit III

Neural Networks
Machine Learning Using Neural Network, Adaptive Networks – Feed forward Networks -Supervised Learning Neural Networks – Radial Basis Function Networks – Reinforcement Learning – Unsupervised Learning Neural Networks.


Download iStudy App for latest syllabus, timetables and updates from Anna Univ (No Ads, No Pdfs)

Get it on Google Play

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit V

Hybrid Systems
Adaptive Neuro-Fuzzy Inference Systems – Hybrid intelligence systems – AHP- ANP – DEA .

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. George J. Klir and Bo Yuan, “Fuzzy Sets and Fuzzy Logic-Theory and Applications”, Prentice Hall, 1995.
  2. James A. Freeman and David M. Skapura, “Neural Networks Algorithms, Applications, and Programming Techniques”, Pearson Edn., 2003.
  3. Jyh-Shing Roger Jang, Chuen-Tsai Sun, EijiMizutani, “Neuro-Fuzzy and Soft computing”, Prentice-Hall of India, 2003.
  4. Rajasekarn.S and Vijayalakshmi Pai GA, “Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications” , PHI , 2017

References:

  1. David E. Goldberg, “Genetic Algorithms in Search, Optimization and Machine Learning”, Addison Wesley, 1997.

For detailed syllabus of all the other subjects of Industrial Engineering 8th Sem, visit Industrial 8th Sem subject syllabuses for 2019 regulation.

For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.

Leave a Reply

Your email address will not be published. Required fields are marked *

*